DeepImageGuard
Image authenticity and deepfake detection for photographs.
- Deepfake & manipulated image detection
- Layered forensic signals with corroboration
- Explainable REAL / FAKE verdicts
image media input
video media input
audio media input
web media input
Overview
Multimodal AI engines that detect deepfakes, virtual meeting avatars, and browser-level media manipulation with explainable per-layer confidence.
- Dedicated synthetic media products
6
Dedicated synthetic media products
- Per-frame deepfake detection latency
< 50ms
Per-frame deepfake detection latency
- Cross-modal detection accuracy across video & audio
99.4%
Cross-modal detection accuracy across video & audio
In this category
7 products, one detection stack
Six products covering every surface synthetic media arrives on — a file, a voice recording, a live call, a KYC document, a meeting, or the page itself.
DeepVideoGuard
Multimodal deepfake detection for videos and streams.
- Real-time video stream analysis
- Multimodal face & temporal tracking
- Frame-by-frame deepfake detection
DeepAudioGuard
Forensic deepfake detection for audio and voice recordings.
- DSP forensics and acoustic neural scoring
- Chunk-level results streamed live
- Client-side forensic PDF reporting
DeepFraudGuard
End-to-end deepfake fraud and impersonation risk assessment.
- Executive & VIP impersonation protection
- End-to-end fraud risk scoring
- Incident report generation for legal use
DeepBrowserGuard
Real-time synthetic media detection on browsers.
- In-browser real-time media inspection
- Client-side deepfake signal detection
- Lightweight extension & web SDK integration
DeepMeetGuard
Real-time deepfake detection for virtual meetings.
- Zoom / Teams / Meet session protection
- Live avatar & facial swap detection
- Continuous video call liveness check
Deepfake Finder
AI-powered discovery and verification of suspected deepfake videos across online platforms.
- Multi-platform media discovery
- AI identity verification and deepfake analysis
- Case-based investigation and continuous monitoring
Core architecture
Eight models, three modalities, one score
Built for high precision, privacy compliance, and integration into the systems that already make the decision.
- Multimodal AI fusion
- Combines visual facial texture, temporal movement, and vocal spectrum analysis to catch deepfakes that fool single-modality tools.
- In-browser & meeting extension
- Inspect media at the point of consumption in WebRTC calls, browser sessions, and virtual meeting platforms.
- Explainable detection chain
- Provides per-layer confidence scores and evidentiary reports suitable for compliance and legal proceedings.
- Zero biometric template storage
- Stateless processing ensures no biometric images or voiceprints are stored or centralized.
The rest of the line
More in Data Security
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